Folio
Donated on 7/4/2015
20 photos of leaves for each of 32 different species.
Dataset Characteristics
Multivariate
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
-
# Instances
637
# Features
20
Dataset Information
Additional Information
- The leaves were placed on a white background and then photographed. - The pictures were taken in broad daylight to ensure optimum light intensity.
Has Missing Values?
Yes
Variable Information
List of plant species: 1. Beaumier du perou 2. Eggplant 3. Fruitcitere 4. Guava 5. Hibiscus 6. Betel 7. Rose 8. Chrysanthemum 9. Ficus 10. Duranta gold 11. Ashanti blood 12. Bitter Orange 13. Coeur Demoiselle 14. Jackfruit 15. Mulberry Leaf 16. Pimento 17. Pomme Jacquot 18. Star Apple 19. Barbados Cherry 20. Sweet Olive 21. Croton 22. Thevetia 23. Vieux Garcon 24. Chocolate tree 25. Carricature plant 26. Coffee 27. Ketembilla 28. Chinese guava 29. Lychee 30. Geranium 31. Sweet potato 32. Papaya
Dataset Files
| File | Size |
|---|---|
| Folio Leaf Dataset.rar | 927.4 MB |
| .leaf_database.rar_old | 903 MB |
| Plants list.pdf | 349.2 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset folio = fetch_ucirepo(id=338) # data (as pandas dataframes) X = folio.data.features y = folio.data.targets # metadata print(folio.metadata) # variable information print(folio.variables)
Pudaruth, S. (2015). Folio [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5TW3F.
Creators
S. Pudaruth
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.